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Current Technological Advances in Dysphagia Screening: Systematic Scoping Review

Current Technological Advances in Dysphagia Screening: Systematic Scoping Review

Wang et al [82] suggested that a test sample size of 98 might be necessary for deep learning, as estimated based on statistical heuristics. Data augmentation and other techniques such as undersampling, penalization, and Monte Carlo simulation could be used to address class imbalance problem because of scarcity of patients with dysphagia in the dataset.

Duo Wai-Chi Wong, Jiao Wang, Sophia Ming-Yan Cheung, Derek Ka-Hei Lai, Armstrong Tat-San Chiu, Dai Pu, James Chung-Wai Cheung, Timothy Chi-Yui Kwok

J Med Internet Res 2025;27:e65551